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--- |
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base_model: google/vit-base-patch16-224-in21k |
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datasets: |
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- imagefolder |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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results: |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- type: accuracy |
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value: 0.49375 |
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name: Accuracy |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# results |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6499 |
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- Accuracy: 0.4938 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.0569 | 1.0 | 20 | 2.0360 | 0.1938 | |
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| 1.9499 | 2.0 | 40 | 1.9751 | 0.325 | |
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| 1.8401 | 3.0 | 60 | 1.8969 | 0.4125 | |
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| 1.7302 | 4.0 | 80 | 1.8159 | 0.4625 | |
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| 1.6452 | 5.0 | 100 | 1.7533 | 0.4437 | |
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| 1.5509 | 6.0 | 120 | 1.7124 | 0.4938 | |
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| 1.4928 | 7.0 | 140 | 1.6806 | 0.5125 | |
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| 1.4412 | 8.0 | 160 | 1.6631 | 0.4938 | |
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| 1.407 | 9.0 | 180 | 1.6530 | 0.5 | |
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| 1.4025 | 10.0 | 200 | 1.6499 | 0.4938 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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